<p>(Formerly numbered 425.) Lecture, three hours; discussion, one hour. Limited to Master of Applied Economics students. Covers set of fundamental machine learning algorithms, models, and theories, and introduces advanced engineering practices for implementing data-intensive intelligent systems. Topics involve both supervised methods (e.g., support vector machine, neural network, etc.) and unsupervised methods (e.g., clustering, dimensionality reduction, etc.), and their applications in classification, regression, data analysis, and visualization. Letter grading.</p>

Economics

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College of Letters and Science

The department conducts cutting-edge research by developing and applying new methodologies to understand society's most critical issues and trains future generations of economic leaders.

General Catalog

Machine Learning for Economists

ECON 425T

4 units